What is she best known for?
The fields of study she is best known for:
- Polymer
- Organic chemistry
- Catalysis
Rufina G. Alamo mainly investigates Polymer chemistry, Copolymer, Crystallization, Crystallinity and Ethylene.
Rufina G. Alamo has included themes like Differential scanning calorimetry, Melting point and Phase in her Polymer chemistry study.
Her Copolymer study combines topics from a wide range of disciplines, such as Crystallography, Crystal structure and Crystallite.
The study incorporates disciplines such as Mass fraction, Polyethylene and Polymer in addition to Crystallization.
Her Crystallinity research includes themes of Carbon nanotube and Tacticity.
Within one scientific family, she focuses on topics pertaining to Molar mass under Ethylene, and may sometimes address concerns connected to Pendant group.
Her most cited work include:
- Structural and Kinetic Factors Governing the Formation of the γ Polymorph of Isotactic Polypropylene (180 citations)
- Formation of the α and γ polymorphs in random metallocene-propylene copolymers. Effect of concentration and type of comonomer (158 citations)
- Thermodynamic and structural properties of copolymers of ethylene (158 citations)
What are the main themes of her work throughout her whole career to date?
Crystallization, Polymer chemistry, Copolymer, Crystallography and Chemical engineering are her primary areas of study.
Her biological study spans a wide range of topics, including Lamellar structure, Tacticity, Nucleation, Polyethylene and Crystallite.
Her Polymer chemistry research integrates issues from Comonomer, Phase, Analytical chemistry, Metallocene and Crystallinity.
In Crystallinity, Rufina G. Alamo works on issues like Polymer, which are connected to Carbon-13 NMR and Thin film.
Her Copolymer research is multidisciplinary, incorporating elements of Branching, Melting point, Ethylene, Molecule and Microstructure.
Her studies deal with areas such as Premelting, Supercooling and Intermolecular force as well as Crystallography.
She most often published in these fields:
- Crystallization (45.69%)
- Polymer chemistry (41.62%)
- Copolymer (36.55%)
What were the highlights of her more recent work (between 2012-2021)?
- Copolymer (36.55%)
- Crystallization (45.69%)
- Chemical engineering (22.84%)
In recent papers she was focusing on the following fields of study:
Rufina G. Alamo spends much of her time researching Copolymer, Crystallization, Chemical engineering, Ethylene and Crystallography.
Her Copolymer study combines topics in areas such as Metallocene, Linear low-density polyethylene, Polymer chemistry and Nucleation.
Rufina G. Alamo has researched Polymer chemistry in several fields, including Phase and Tacticity.
The concepts of her Crystallization study are interwoven with issues in Enthalpy of fusion, Melting point, Isothermal process, Molar mass and Crystallite.
Her studies in Ethylene integrate themes in fields like 1-Butene, Atmospheric temperature range and Halogen.
Her study in Crystallography focuses on Crystal structure and Crystallinity.
Between 2012 and 2021, her most popular works were:
- Carbon nanotubes on a spider silk scaffold (94 citations)
- Strong Memory Effect of Crystallization above the Equilibrium Melting Point of Random Copolymers (86 citations)
- Monte Carlo Simulations of Strong Memory Effect of Crystallization in Random Copolymers (44 citations)
In her most recent research, the most cited papers focused on:
- Polymer
- Organic chemistry
- Catalysis
Rufina G. Alamo mostly deals with Crystallization, Polymer, Copolymer, Crystallinity and Melting point.
Her research in Crystallization intersects with topics in Intermolecular force, Crystal structure and Crystallite.
Her Polymer research incorporates elements of Crystallography, Rheology, Polyethylene and Viscoelasticity.
Her biological study spans a wide range of topics, including Chemical engineering, Polymer chemistry and Ethylene.
Her research on Crystallinity frequently links to adjacent areas such as Enthalpy of fusion.
Her Melting point research incorporates themes from Comonomer and Nucleation.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
